COURSE

PROVIDER

DURATION

EXP. LEVEL

CERT. FEE

AI for Everyone (Coursera)

DeepLearning.AI

10 hours

Beginner level

Free (audit) or Coursera subscription or $49 for individual course purchase

Certified Artificial Intelligence Scientist (CAIS)

United States Artificial Intelligence Institute

4 – 25 weeks

Advanced

$894

Computer Science for Artificial Intelligence

Harvard University

5 months

Beginner or mid-level

$518 (currently on sale for $466.20)

Fundamentals of Google AI for Web-Based Machine Learning

Google

3 months

Beginner/mid-level

$498 (currently on sale for $358.20)

IBM AI Engineering Professional Certificate

IBM

2 months at 10 hours a week

Intermediate level

Free (audit) or Coursera subscription or $49 for individual course purchase

Artificial Intelligence A-Z 2024: Build an AI with ChatGPT4 (Udemy)

SuperDataScience Team and other instructors

17 hours

Beginner/mid-level

$20 per month (personal plan) or $149.99 course purchase fee

Artificial Intelligence Engineer (AIE) Certification Process by the Artificial Intelligence Board of America (ARTiBA)

ARTiBA

N/A

Advanced

$550

Artificial Intelligence Graduate Certificate

Stanford School of Engineering

1 to 3 years, depending on the learner’s pace

Advanced level

$18,928 – $23,296

Microsoft Certified: Azure AI Engineer Associate

Microsoft

114 hours, 37 minutes

Intermediate or advanced level

$165 for U.S. candidate

Professional Certificate Program in Machine Learning & Artificial Intelligence

MIT Professional Education

16 days of qualifying Short Programs courses in Professional Education

Beginner to intermediate

$325 application fee and per-course fees

Free AI Certifications & Courses 

AI TOPIC

DIFFICULTY LEVEL

RELEASE YEAR

LOCATION

Generative AI

🟩⬜⬜

2023

Generative AI for Beginners by Microsoft

Deep Learning

🟩🟩⬜

2023

6.5940 TinyML and Efficient Deep Learning Computing by Massachusetts Institute of Technology

Natural Language Processing

🟩🟩⬜

2023

Natural Language Processing by The University of Texas at Austin

Deep Learning

🟩⬜⬜

2023

Deep Learning Fundamentals - Learning Deep Learning Using a Modern Open-Source Stack by Sebastian Raschka

Large Language Models

🟩🟩⬜

2023

LLM Bootcamp - Spring 2023 by The Full Stack

Python

🟩⬜⬜

2023

CS50: Introduction to Programming with Python by Harvard University x freeCodeCamp.org

Stable Diffusion and Deep Learning

🟩🟩⬜

2023

Practical Deep Learning for Coders part 2: Deep Learning Foundations to Stable Diffusion by fast.ai

Deep Learning

🟩⬜⬜

2023

6.S191: Introduction to Deep Learning by Massachusetts Institute of Technology

Deep Learning

🟩⬜⬜

2023

Neural Networks: Zero to Hero by Andrej Karpathy

Large Language Models and Prompt Engineering

🟩⬜⬜

2023

Prompt Engineering Guide by DAIR.AI

Computer Vision

🟩⬜⬜

2023

Computer Vision in Practice by Piotr Skalski x Roboflow

Natural Language Processing

🟩🟩⬜

2023

CS685: Advanced Natural Language Processing by University of Massachusetts

Linear Algebra

🟩⬜⬜

2022

Linear Algebra for Data Science by Shaina Race

Machine Learning

🟩🟩⬜

2022

CS229: Machine Learning by Stanford University

MLOps

🟩🟩⬜

2022

Machine Learning Engineering for Production by Andrew Y. Ng

Multimodal Machine Learning

🟩🟩🟩

2022

11-777: Multimodal Machine Learning by Carnegie Mellon University

Deep Multi-Task and Meta Learning

🟩🟩🟩

2022

CS330 Deep Multi-Task and Meta Learning by Stanford University

Deep Learning

🟩⬜⬜

2022

Practical Deep Learning for Coders by fast.ai

Deep Learning

🟩⬜⬜

2021

Neural Networks from Scratch in Python by Sentdex

Natural Language Processing

🟩🟩⬜

2021

CS224U: Natural Language Understanding by Stanford University

Transformers

🟩🟩🟩

2021

CS25: Transformers United by Stanford University

Deep Learning

🟩🟩⬜

2021

NYU-DLSP21: NYU Deep Learning Spring by New York University

Natural Language Processing and Transformers

🟩⬜⬜

2021

NLP Course by Hugging Face

Deep Learning

🟩⬜⬜

2021

Dive into Deep Learning by d2l.ai

Reinforcement Learning

🟩🟩🟩

2021

Reinforcement Learning Course by DeepMind x University College London

Natural Language Processing

🟩🟩⬜

2021

CS224N: Natural Language Processing with Deep Learning by Stanford University

Deep Learning

🟩🟩⬜

2020

Deep Learning Lecture Series by DeepMind x University College London

Linear Algebra

🟩🟩🟩

2019

Advanced Linear Algebra - Foundations to Frontiers by Margaret E. Myers & Robert A. van de Geijn

Artificial Intelligence

🟩🟩⬜

2019

Stanford CS221: Artificial Intelligence: Principles and Techniques by Stanford University

Computer Vision

🟩🟩⬜

2019

University of Michigan EECS 498.008 / 598.008: Deep Learning for Computer Vision by University of Michigan

Computer Vision

🟩🟩⬜

2018

CS231n: Deep Learning for Computer Vision by Stanford University

Statistics and Probability

🟩⬜⬜

2013

Statistics 110: Probability by Harvard University